A Rapidly Converging Algorithm for Exact Binomial Confidence Intervals About the Relative Risk in Follow-up Studies with Stratified Incidence-Density Data
- 1 January 1990
- journal article
- other
- Published by Wolters Kluwer Health in Epidemiology
- Vol. 1 (1) , 75-77
- https://doi.org/10.1097/00001648-199001000-00016
Abstract
A rapidly converging algorithm is given to calculate exact confidence intervals about the adjusted relative risk in follow-up studies with stratified incidence-density data. The network approach that Mehta developed for tables with person-count numerators and denominators is adapted to tables with person-count numerators and person-time denominators. This algorithm updates an earlier program by Guess et al, yielding the same quantities but with running times that are between ten and a hundred times faster. Applications to Poisson regression are discussed.Keywords
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